Hermès Lead Data Engineer
Hermès Sellier — Pantin: Lead Data Engineer to design and industrialize scalable data platforms and lead a team of Data Engineers.
Overview
Hermès Sellier is the leather-goods division of Hermès, a French maison renowned for exceptional craftsmanship, material quality and timeless design. The division operates within a culture that balances artisanal traditions with selective technological modernisation to support product excellence and business growth.
Role & Responsibilities
- Design and industrialize reliable, scalable data pipelines (batch and streaming) from source systems to data platforms (data lake / data warehouse).
- Define and evolve the target data architecture in collaboration with architecture and cloud teams.
- Provide technical leadership and mentoring to a team of Data Engineers; promulgate best practices around code quality, testing, performance and security.
- Ensure data quality, governance and compliance through testing, traceability, documentation and appropriate controls.
- Collaborate with product and analytics teams to translate business needs into production-ready data products.
- Continuously improve the platform by auditing the existing landscape, reducing technical debt and optimising pipeline performance.
Qualifications
- Master's degree (Bac+5) in computer science, information systems, or project management (engineering school or university master).
- Approximately 10 years of professional experience in Data Engineering, including prior experience as a technical lead or referent.
- Proven experience delivering data projects in cloud environments (AWS, Azure or GCP) and handling high-volume or high‑criticality data workloads.
- Strong command of SQL and Python and solid experience with modern data architectures (data lake, data warehouse, ETL/ELT).
- Familiarity with orchestration and transformation tools such as Airflow and DBT, and with CI/CD and containerisation technologies (Docker, Kubernetes).
- Deep understanding of data quality, security, performance and governance requirements.
- Demonstrated leadership, excellent communication with technical and business stakeholders, strong analytical rigour and ability to manage multiple priorities in an agile environment.
- Curiosity and appetite for adopting new data technologies.
Skills
Experience
Around 10 years in Data Engineering with hands-on delivery experience on cloud platforms (AWS, Azure or GCP) and prior responsibility as a technical referent or lead on high-volume or mission-critical data projects.
Education
Master's degree (Bac+5) in computer science, information systems, or project management (engineering school or university master).
Workplace
The successful candidate will be located in Pantin, Île-de-France, France, with easy access to Paris. 125 luxury roles are listed in Pantin on Cerulean, 9 posted in the last 48 hours. Across the Île-de-France region, Cerulean lists 3.721 open positions — 70 listed in the past two days. Cerulean currently advertises 4.271 open roles in France, including 85 added in the last 48 hours.
Culture
Hermès fosters a workplace where meticulous craftsmanship and long-term thinking coexist with targeted technological investment. The organisation values quality, discretion and collaborative expertise, and emphasises ethical conduct, diversity and inclusion in its teams.
About Cerulean
Cerulean is the definitive career portal for the global luxury industry. We match exceptional professionals with exclusive opportunities at the world's most prestigious brands. From haute couture and fine watchmaking to prestige beauty, hospitality, and boutique retail, Cerulean centralises luxury employment to help you find the career for which you were destined.
Frequently Asked Questions
The luxury industry is characterised by a diverse and nuanced nomenclature. Esteemed houses frequently employ proprietary terminology, and even within a single organisation like Hermès, titles may vary across global markets to reflect local conventions. To ensure absolute clarity, Cerulean assigns a standardised, industry-coherent canonical title to every listing. However, it is worth noting that this role is functionally synonymous with «Data Engineering Lead», «Technical Lead — Data Platform», «Senior Data Platform Engineer», «Data Platform Lead», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.